Instant Accident Reporting and Crowdsensed Road Condition Analytics for Smart Cities
Ashkan Yousefpour, Caleb Fung, Tam Nguyen, David Hong, Daniel Zhang

TL;DR
This paper proposes a vehicle-mounted device that detects accidents and potholes in real-time, transmitting data to a server for immediate emergency response and road condition analysis, enhancing smart city infrastructure.
Contribution
The authors introduce a novel device and system for instant accident detection and road condition analytics using crowdsensed vehicle data.
Findings
Effective crash detection and emergency alerting
Real-time pothole identification and reporting
Enhanced data collection for smart city planning
Abstract
The following report contains information about a proposed technology by the authors, which consists of a device that sits inside of a vehicle and constantly monitors the car information. It can determine speed, g-force, and location coordinates. Using these data, the device can detect a car crash or pothole on the road. The data collected from the car is forwarded to a server to for more in-depth analytics. If there is an accident, the server promptly contacts the emergency services with the location of the crash. Moreover, the pothole information is used for analytics of road conditions.
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Taxonomy
TopicsTraffic Prediction and Management Techniques · Vehicular Ad Hoc Networks (VANETs) · Infrastructure Maintenance and Monitoring
